Senior Application Engineer - AI (Python, FastAPI & LLM)

Technical Execution: Make day-to-day implementation calls, contribute to design reviews, and make sound trade-off decisions on your features; escalate cross-cutting concerns to the Engineering Manager.

AI Integration: Partner with your AI Engineer to bring LLM-based components into production paths — prompt invocation, response handling, fallbacks, observability — running on AWS Bedrock. You'll shape how these components are integrated, collaborate on the design decisions that affect the product, and bring the AI Architect in on the deeper algorithmic calls.

Platform & Standards Consumption: Build on top of the team's shared CI/CD, vector DB, auth, QA, and UI/UX foundations. Push back to the horizontal layer when something is missing or wrong.

Code Quality & Mentorship: Set a high bar for code review, testing, and engineering hygiene through your own work. Mentor the Consultant Product Engineer and the AI pairing partners.

AI-Native Development: Leverage AI coding tools (Claude Code, Copilot) to accelerate delivery while maintaining a high quality bar.

End-to-end delivery of high-complexity or strategic projects on schedule.

Quality bar upheld: review standards, test coverage, and observability for owned features.

Reliable AI integration — LLM-backed paths with sound fallbacks and acceptable latency.

Mentorship impact: growth of the Consultant Product Engineer and AI pairing partners.

Platform feedback loop: gaps surfaced and resolved with the horizontal teams.

Expert-level skills in Python and the surrounding production ecosystem (async, FastAPI, Pydantic, pytest). Experience with Java or TypeScript is useful, though Python is strongly preferred.

Strong REST API design experience, database modeling (SQL and at least one NoSQL store), and event-driven patterns.

Working knowledge of frontend frameworks (React or equivalent) sufficient to wire UI components into your APIs.

Working understanding of LLM APIs and how AI features are integrated — prompt invocation, streaming, retries, fallbacks. You'll partner with AI specialists on the modeling and data-science work, contributing to the integration design and knowing when to bring in the AI Architect.

Experience with coding assistants (Claude Code, Copilot).

Guidewire Knowledge: Prior experience with Guidewire InsuranceSuite or Guidewire Cloud is a significant plus.

Team Leadership: Prior experience leading small teams or owning a feature area end-to-end.